class_docstr: A 'no-operation' (noop) implementation of a shuffling buffer. Useful in cases where no shuffling is desired, such
  as test scenarios or iterating over a dataset in a predeterministic order.
code: def __init__(self):
      self.store = deque()
  
imports: import abc
  from collections import deque
  import numpy
  import six
label_desc: Use image node_id 1 to create a new NoopShufflingBuffer object from inherited base classes: ShufflingBufferBase with example: obj = NoopShufflingBuffer()